Download Microwave Scattering and Emission Models for Users (Artech by Adrian K. Fung PDF

By Adrian K. Fung

This day, microwave distant sensing has developed right into a important and low-budget instrument for a number of purposes. it truly is utilized in a variety of components, from geological sensing, geographical mapping, and climate tracking, to GPS positioning, plane site visitors, and mapping of oil toxins over the ocean floor. This particular source offers microwave distant sensing pros with functional scattering and emission info types that signify the interplay among electromagnetic waves and a scene on this planet floor within the microwave zone. The publication is helping engineers comprehend and practice those versions to their particular paintings within the box. CD-ROM integrated! It comprises Mathematica code for all of the scattering and emission versions offered the e-book, so practitioners can simply use the versions for his or her personal purposes.

Show description

Read Online or Download Microwave Scattering and Emission Models for Users (Artech House Remote Sensing) PDF

Best remote sensing & gis books

Essential Image Processing and GIS for Remote Sensing

Crucial photograph Processing and GIS for distant Sensing is an obtainable assessment of the topic and effectively attracts jointly those 3 key parts in a balanced and entire demeanour. The ebook presents an summary of crucial innovations and a variety of key case reports in quite a few program components.

GNSS Markets and Applications (GNSS Technology and Applications)

Such a lot recognized for GPS items, the worldwide navigation satellite tv for pc platforms (GNSS) is poised for dramatic progress. Many GNSS company specialists are predicting ten-fold development over the subsequent decade to make GNSS a $300-billion undefined. This publication offers an in depth, actual photograph of the present GNSS market, delivering willing perception into destiny traits.

Atmospheric Aerosol Properties: Formation, Processes and Impacts

This publication presents the 1st finished research of ways aerosols shape within the surroundings via in situ strategies in addition to through shipping from the skin (dust storms, seas spray, biogenic emissions, wooded area fires and so on. ). Such an research has been by means of the honor of either remark information (various box observational experiments) and numerical modeling effects to evaluate weather affects of aerosols taking into consideration that those affects are the main major uncertainty in learning typical and anthropogenic motives of weather swap.

Sensitivity Analysis in Remote Sensing

This booklet includes a exact presentation of common ideas of sensitivity research in addition to their purposes to pattern circumstances of distant sensing experiments. An emphasis is made on purposes of adjoint difficulties, simply because they're extra effective in lots of functional circumstances, even supposing their formula could seem counterintuitive to a newbie.

Additional resources for Microwave Scattering and Emission Models for Users (Artech House Remote Sensing)

Example text

The general trend is that larger values of x represent surfaces with higher curvatures and rms slopes and therefore correspond to rougher surfaces. Its change also affects the correlation distance (or length) defined as the distance over which the correlation coefficient decreases from 1 to 1/e. Thus, for surface correlations with an adjustable parameter the constant, L, does not necessarily represent the correlation distance. There is also some overlap in the effects of changing x and L in terms of the correlation length and rms slope, 2x ( σ ⁄ L ).

1 Geometry of the backscattering problem. The permittivity and permeability of the upper medium are ε 0 and µ 0 ; while for the lower medium they are ε 0 ε r and µ 0 µ r , respectively. The incident angle is θ . 5). 0 σ pp k2 = ------ exp [ – 2k 2 σ 2 cos2 θ ] 4π ∞ ∑ n=1 w ( n ) ( 2k sin θ, 0 ) n 2 ------------------------------------I pp n! 1) The Simplified Integral Equation Surface Backscattering Model 2R v –2 R -, f = -----------h-, T p = 1 + R p, T pm = 1 – R p, sq = f vv = ----------cos θ hh cos θ 49 µ r ε r – sin2 θ sin2 θ sq 1 1 sin2 θ ε r ( 1 + sin2 θ ) 2 F vv =  ------------- – ----- T v2 – 2 sin2 θ  ------------ + ----- T v T vm +  ------------- + ------------------------------- T vm  cos θ ε r   cos θ sq  cos θ  sq sin2 θ sq 1 1 F hh = –  ------------- – ----- T h2 – 2 sin2 θ  ------------ + ----- T h T hm  cos θ µ r  cos θ sq sin2 θ- µ r ( 1 + sin θ ) 2 +  -----------+ --------------------------------- T hm  cos θ  sq 2 In the above, k is the wave number; R p is the p-polarized Fresnel reflection coefficient; and the quantity w ( n ) is the surface spectrum corresponding to the twodimensional Fourier transform of the surface correlation coefficient ρ ( x, y ) raised to its nth power, ρ n ( x, y ) .

Chen, “A Generalized Power Law Spectrum and its Applications to the Backscattering of Soil Surfaces Based on the Integral Equation Model,” IEEE Geoscience and Remote Sensing, Vol. 40, No. 2, 2002, pp. 271–280. D. dissertation, University of Texas at Arlington, Arlington, TX, 1992. , Microwave Scattering and Emission Models and Their Applications, Norwood, MA: Artech House, 1994. 1 INTRODUCTION When the surface roughness is not small, the method of small perturbation [1] is not applicable to compute the backscattering coefficient.

Download PDF sample

Rated 4.20 of 5 – based on 49 votes